General Dynamics Land Systems is seeking an experienced Generative AI / Enterprise Data Architect to lead the design and implementation of our enterprise data fabric and digital thread. This highly visible role will be a key technical and strategic partner to engineering, IT, operations, and business leaders, enabling an endtoend digital thread that connects contracts through engineering, manufacturing, and supply chain, ultimately into sustainment.
As a Generative AI / Enterprise Data Architect, you will define and implement our Databricksbased enterprise data architecture, lead solution design for highvalue GenAI use cases, and ensure that our data and AI platforms are secure, scalable, and aligned with business objectives. You will combine deep technical expertise with strong business acumen and changemanagement skills to drive process efficiency, reduce cycle time, and lower cost across the product lifecycle.
About GDLS
General Dynamics Land Systems builds the combat vehicles and integrated technologies that give soldiers a decisive advantage. We design, engineer, and sustain advanced tracked and wheeled systems paired with modern electronic architecture, AIenabled capabilities, and autonomyready technology.
From Abrams to LAV, Stryker to AJAX, robotic platforms to software solutions and beyond, our portfolio delivers proven performance and futureready modernization for customers around the world.
Join the people who design, build, and advance the systems that protect those who protect us. Our teams see beyond the horizon, solving problems before they become challenges.
Bring your talent. Bring your purpose.
Let's shape the future of General Dynamics Land Systems together.
Key Responsibilities
Enterprise Data Fabric & Digital Thread Architecture
Define and maintain the reference architecture for the GDLS enterprise data fabric, centered on Databricks and modern lakehouse capabilities (Delta Lake, streaming, advanced analytics).
Architect an endtoend digital thread that connects data and context from contracts and proposals through requirements, engineering, manufacturing, supply chain, and sustainment.
Establish standards for data modeling, ingestion, transformation, and consumption (ETL/ELT, medallion architecture, reusable data products) to support analytics and GenAI use cases across the lifecycle.
Ensure the data fabric supports traceability (e.g., contract requirement design build test field performance) and enables closedloop feedback into engineering and operations.
Generative AI Strategy & Solution Design
Partner with business, engineering, manufacturing, and supply chain leaders to identify, prioritize, and architect GenAI solutions that drive measurable process efficiency, cycletime reduction, and cost savings.
Design and implement GenAI architectures leveraging LLMs, Databricks, vector databases, and retrievalaugmented generation (RAG) to securely use enterprise data from the digital thread.
Develop patterns for GenAIenabled use cases such as:
Contract and requirements analysis, summarization, and impact assessment.
Engineering knowledge retrieval and design decision support.
Manufacturing work instruction generation and change impact analysis.
Supply chain risk analysis, supplier insights, and exception handling.
Sustainment and field support knowledge assistants using maintenance and telemetry data.
Define integration patterns for embedding GenAI capabilities into existing PLM, ERP, MES, SCM, and sustainment tools via APIs and microservices.
Data Governance, Security & Responsible AI
Collaborate with cybersecurity, legal, export control, and compliance teams to define and enforce data and AI governance, including access controls, data classification, and protection of sensitive and exportcontrolled information.
Implement guardrails for responsible AI use, including model input/output controls, content filtering, and monitoring for misuse or policy violations.
Drive improvements in data quality, metadata management, lineage, and master data that directly support reliable AI and analytics outcomes across the digital thread.
Platform Ownership & Operational Excellence
Provide architectural leadership for Databricks and related data/AI platforms, including environment design, workspace organization, and integration with enterprise systems (PLM, ERP, MES, SCM, CRM, sustainment systems).
Define and implement monitoring and observability for data and AI workloads (performance, reliability, model accuracy, drift, usage, and business impact).
Guide the selection and integration of complementary tools (e.g., orchestration, catalog, BI, MLOps) to create a cohesive, efficient data and AI ecosystem.
Transformation, Change Management & Adoption
Translate complex data and AI concepts into clear, practical guidance for business stakeholders and technical teams, with a focus on digital thread enablement and process improvement.
Develop and support adoption plans, including training, documentation, and bestpractice playbooks for data engineers, analysts, and application teams using Databricks and GenAI.
Champion a datadriven, AIenabled culture by demonstrating measurable value (cycletime reduction, touchtime reduction, cost per transaction, quality improvements) and helping leaders understand where and how to apply GenAI... For full info follow application link.
General Dynamics Land Systems is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action Employer, making decisions without regard to race and/or ethnic background, national origin and/or ancestry, color, religion, gender, gender identity or expression, transgender status, sexual orientation, marital/parental status, age, military service, veteran status, disability, pregnancy/childbirth or related conditions, genetic information, or membership in any class protected by applicable law from discrimination in employment.
